{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T16:16:00Z","timestamp":1759940160713},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2008,5,27]],"date-time":"2008-05-27T00:00:00Z","timestamp":1211846400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1007\/s11548-008-0217-6","type":"journal-article","created":{"date-parts":[[2008,5,26]],"date-time":"2008-05-26T15:06:30Z","timestamp":1211814390000},"page":"143-150","source":"Crossref","is-referenced-by-count":17,"title":["Segmentation of the liver in ultrasound: a dynamic texture approach"],"prefix":"10.1007","volume":"3","author":[{"given":"Sergiy","family":"Milko","sequence":"first","affiliation":[]},{"given":"Eigil","family":"Samset","sequence":"additional","affiliation":[]},{"given":"Timor","family":"Kadir","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,5,27]]},"reference":[{"issue":"3","key":"217_CR1","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3109\/10929080109145999","volume":"6","author":"L Soler","year":"2001","unstructured":"Soler L, Delingette H, Malandain G, Montagnat J, Ayache N, Koehl C, Dourthe O, Malassagne B, Smith M, Mutter D and Marescaux J (2001). Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg 6(3): 131\u2013142","journal-title":"Comput Aided Surg"},{"issue":"12","key":"217_CR2","doi-asserted-by":"crossref","first-page":"3699","DOI":"10.1118\/1.2132573","volume":"32","author":"F Liu","year":"2005","unstructured":"Liu F, Zhao B and Kijewski PK (2005). Liver segmentation for CT images using GVF snake. Med Phys 32(12): 3699\u20133706","journal-title":"Med Phys"},{"issue":"1","key":"217_CR3","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/34.824822","volume":"22","author":"JS Duncan","year":"2000","unstructured":"Duncan JS and Ayache N (2000). Medical image analysis: progress over two decades and the challenges ahead. IEEE Trans Pattern Anal Mach Intell 22(1): 85\u2013106","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"217_CR4","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/TMI.2004.837792","volume":"24","author":"J Xie","year":"2005","unstructured":"Xie J, Jiang Y and Tsui H (2005). Segmentation of kidney from ultrasound images based on texture and shape priors. IEEE Trans Med Imaging 24(1): 45\u201357","journal-title":"IEEE Trans Med Imaging"},{"issue":"3","key":"217_CR5","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/TMI.2005.862744","volume":"25","author":"Y Zhan","year":"2006","unstructured":"Zhan Y and Shen D (2006). Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method. IEEE Trans Med Imaging 25(3): 256\u2013272","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"217_CR6","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1186\/1475-925X-4-58","volume":"4","author":"F Sahba","year":"2005","unstructured":"Sahba F, Tizhoosh HR and Salama MM (2005). A coarse-to-fine approach to prostate boundary segmentation in ultrasound images. BioMed Eng Online 4(1): 58","journal-title":"BioMed Eng Online"},{"issue":"2","key":"217_CR7","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1023\/A:1007958904918","volume":"24","author":"P Viola","year":"1997","unstructured":"Viola P and Wells WM (1997). Alignment by maximization of mutual information. Int J Comput Vis 24(2): 137\u2013194","journal-title":"Int J Comput Vis"},{"issue":"6","key":"217_CR8","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1109\/TMI.2007.895483","volume":"26","author":"W Wein","year":"2007","unstructured":"Wein W, R\u00f6per B and Navab N (2007). Integrating diagnostic B-mode ultrasonography into CT-based radiation treatment planning. IEEE Trans Med Imaging 26(6): 866\u2013879","journal-title":"IEEE Trans Med Imaging"},{"issue":"11","key":"217_CR9","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1109\/TMI.2005.856751","volume":"24","author":"JM Blackall","year":"2005","unstructured":"Blackall JM, Penney GP, King AP and Hawkes DJ (2005). Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation. IEEE Trans Med Imaging 24(11): 1405\u20131416","journal-title":"IEEE Trans Med Imaging"},{"key":"217_CR10","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s00270-003-2690-1","volume":"26","author":"JH Kaspersen","year":"2003","unstructured":"Kaspersen JH, Sj\u00f8lie E, Wesche J, \u00c5sland J, Lundbom J, \u00d8deg\u00e5rd A, Lindseth F and Nagelhus Hernes TA (2003). Three-dimensional ultrasound-based navigation combined with preoperative CT during abdominal interventions: a feasibility study. Cardiovasc Intervent Radiol 26: 347\u2013356","journal-title":"Cardiovasc Intervent Radiol"},{"key":"217_CR11","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1007\/978-3-540-30136-3_66","volume":"3217","author":"Th Lange","year":"2004","unstructured":"Lange Th, Eulenstein S, H\u00fcnerbein M, Lamecker H and Schlag PM (2004). Augmenting intraoperative 3D ultrasound with preoperative models for navigation in liver surgery. Lect Notes Comput Sci 3217: 534\u2013541","journal-title":"Lect Notes Comput Sci"},{"issue":"10","key":"217_CR12","doi-asserted-by":"crossref","first-page":"1038","DOI":"10.1109\/42.959301","volume":"20","author":"A Roche","year":"2001","unstructured":"Roche A, Pennec X, Malandain G and Ayache N (2001). Rigid registration of 3D ultrasound with MR images: a new approach combining intensity and gradient information. IEEE Trans Med Imaging 20(10): 1038\u20131049","journal-title":"IEEE Trans Med Imaging"},{"key":"217_CR13","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1007\/978-3-540-39899-8_84","volume":"2878","author":"Y Zhan","year":"2003","unstructured":"Zhan Y and Shen D (2003). Automated segmentation of 3D US prostate images using statistical texture-based matching method. Lect Notes Comput Sci 2878: 688\u2013696","journal-title":"Lect Notes Comput Sci"},{"key":"217_CR14","doi-asserted-by":"crossref","unstructured":"Mellor M, Brady M (2005) Fluid registration of ultrasound using multi-scale phase estimates. In: Proceedings of BMVA\u201905","DOI":"10.5244\/C.19.86"},{"key":"217_CR15","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/S0031-3203(01)00053-X","volume":"35","author":"I Dinstein","year":"2002","unstructured":"Dinstein I and Cohen B (2002). New maximum likelihood estimation schemes for noisy ultrasound images. Pattern Recognit 35: 455\u2013463","journal-title":"Pattern Recognit"},{"key":"217_CR16","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1177\/016173469401600404","volume":"16","author":"V Dutt","year":"1994","unstructured":"Dutt V and Greenleaf JF (1994). Ultrasound echo envelope analysis using a homodyned k distribution signal model. Ultrason Imaging 16: 265\u2013287","journal-title":"Ultrason Imaging"},{"issue":"2","key":"217_CR17","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1109\/42.387711","volume":"14","author":"M Bertrand","year":"1995","unstructured":"Bertrand M and Meunier J (1995). Ultrasonic texture motion analysis: theory and simulation. IEEE Trans Med Imaging 14(2): 293\u2013300","journal-title":"IEEE Trans Med Imaging"},{"key":"217_CR18","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1007\/978-3-540-45087-0_49","volume":"2732","author":"D Boukerroui","year":"2003","unstructured":"Boukerroui D (2003). Velocity estimation in ultrasound images: a block matching approach. Lect Notes Comput Sci 2732: 586\u2013598","journal-title":"Lect Notes Comput Sci"},{"key":"217_CR19","doi-asserted-by":"crossref","unstructured":"Doretto G, Cremers D, Favaro P, Soatto S (2003) Dynamic texture segmentation. In: Proceedings of the 9th IEEE international conference on computer vision, vol 2, pp 1236\u20131242","DOI":"10.1109\/ICCV.2003.1238632"},{"key":"217_CR20","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/978-3-540-70932-9_10","volume":"4358","author":"A Ghoreyshi","year":"2007","unstructured":"Ghoreyshi A and Vidal R (2007). Segmenting dynamic textures with ising descriptors, ARX models and level sets. Lect Notes Comput Sci 4358: 127\u2013141","journal-title":"Lect Notes Comput Sci"},{"issue":"20\u201325","key":"217_CR21","first-page":"516","volume":"2","author":"R Vidal","year":"2005","unstructured":"Vidal R and Ravichandran A (2005). Optical flow estimation and segmentation of multiple moving dynamic textures. Comput Vis Pattern Recognit 2(20\u201325): 516\u2013521","journal-title":"Comput Vis Pattern Recognit"},{"key":"217_CR22","doi-asserted-by":"crossref","unstructured":"Fitzgibbon A (2001) Stochastic rigidity: image registration for nowhere-static scenes. In: Proceedings of IEEE international conference on computer vision, vol 1, pp 662\u2013669","DOI":"10.1109\/ICCV.2001.937584"},{"key":"217_CR23","doi-asserted-by":"crossref","unstructured":"Ravichandran A, Vidal R, Halperin H (2006) Segmenting a beating heart using polysegment and Spatial GPCA. In: 3rd IEEE international symposium on biomedical imaging: nano to macro, pp 634\u2013637","DOI":"10.1109\/ISBI.2006.1624996"},{"key":"217_CR24","unstructured":"Doretto G (2005) Dynamic textures: modeling, learning, synthesis, animation, segmentation, and recognition. PhD thesis, University of California, Los Angeles, CA"},{"issue":"2","key":"217_CR25","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/A:1021669406132","volume":"51","author":"G Doretto","year":"2003","unstructured":"Doretto G, Chiuso A, Wu YN and Soatto S (2003). Dynamic textures. Int J Comput Vis 51(2): 91\u2013109","journal-title":"Int J Comput Vis"},{"key":"217_CR26","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1145\/382043.382316","volume":"27","author":"T Schneider","year":"2001","unstructured":"Schneider T and Neumaier A (2001). Algorithm. ARfit\u2014a matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Trans Math Softw 27: 58\u201365","journal-title":"ACM Trans Math Softw"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-008-0217-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-008-0217-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-008-0217-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T16:35:45Z","timestamp":1559406945000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-008-0217-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,5,27]]},"references-count":26,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2008,6]]}},"alternative-id":["217"],"URL":"https:\/\/doi.org\/10.1007\/s11548-008-0217-6","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,5,27]]}}}